AgentKit

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AgentKit is a TypeScript library designed to facilitate the creation and orchestration of AI agents, ranging from simple model inference calls to complex multi-agent systems utilizing various tools. With a focus on orchestration, AgentKit empowers developers to build, test, and deploy reliable AI applications at scale. Key Features and Functionality: - Composable Primitives: Provides simple and modular components to construct AI agents, from basic support agents to semi-autonomous coding agents. - Model Support: Compatible with OpenAI, Anthropic, Gemini, and all OpenAI API-compatible models, offering flexibility in model selection. - Tool Integration: Features a robust API for building tools, including support for MCP as tools, enhancing agent capabilities. - Library and Product Integration: Seamlessly integrates with popular AI libraries and products such as E2B, Browserbase, and Smithery, facilitating a cohesive development environment. - UI Streaming: Enables live updates to user interfaces, enhancing real-time interaction and responsiveness. - Local Development Support: Offers local live traces and input/output logs when combined with the Inngest Dev Server, streamlining the development and debugging process. Primary Value and User Solutions: AgentKit addresses the complexities involved in developing AI applications by providing a structured framework that simplifies the orchestration of AI agents. It allows developers to compose single-agent systems or entire networks of agents that collaborate effectively. By managing components such as agents, networks, routers, and state, AgentKit ensures that AI workflows are dynamic, customizable at runtime, and capable of handling complex tasks efficiently. This comprehensive approach reduces development time, enhances scalability, and ensures the reliability of AI applications.